DEVELOPMENT... OpenML
Run
173289

Run 173289

Task 273 (Supervised Classification) spambase Uploaded 21-02-2015 by Jason
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Flow

weka.OneR(17)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(17)_B6

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.7736
Per class
F measure
0.7877
Per class
Kappa
0.5516
KB relative information score
827.1031
Mean absolute error
0.2115
Mean prior absolute error
0.4764
Number of instances
1518
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7872
Per class
Predictive accuracy
0.7885
Prior entropy
0.9674
Recall
0.7885
Per class
Relative absolute error
0.4439
Root mean prior squared error
0.4875
Root mean squared error
0.4599
Root relative squared error
0.9433
SciMark benchmark
1465.2979
UserCPU time millis
30
UserCPU time millis training
30